Reinforcement Learning

Revenue Optimization against Strategic Buyers NeurIPS 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NeurIPS 2014 Design Principles of the Hippocampal Cognitive Map NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Recurrent Models of Visual Attention NeurIPS 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Universal Option Models NeurIPS 2014 Adaptive Step-Size for Policy Gradient Methods NeurIPS 2013 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Projected Natural Actor-Critic NeurIPS 2013